World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6553
World Ranking
11136
National Ranking
198

Georgios Gousios publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Georgios Gousios sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 100 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Georgios Gousios D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Georgios Gousios sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Georgios Gousios is affiliated with Delft University of Technology in the Netherlands. Their research primarily focuses on computer science, with a significant number of publications in the area. The main fields of study cover Computer Science broadly, with subfields including Information Systems, Artificial Intelligence, Computer Science Applications, Computer Networks and Communications, and Software.

The scientist's work spans multiple topics, notably within software engineering and related domains. Key topics of research include:

  • Software Engineering Research
  • Software Engineering Techniques and Practices
  • Computational Physics and Python Applications
  • Software System Performance and Reliability
  • Open Source Software Innovations
  • Software Testing and Debugging Techniques
  • Topic Modeling

Georgios Gousios has contributed to various recent papers, with important publications including:

  • CodeFill, 2022, Proceedings of the 44th International Conference on Software Engineering
  • Type4Py, 2022, Proceedings of the 44th International Conference on Software Engineering
  • Factors Affecting On-Time Delivery in Large-Scale Agile Software Development, 2021, IEEE Transactions on Software Engineering
  • Pull Request Decisions Explained: An Empirical Overview, 2022, IEEE Transactions on Software Engineering
  • Nudge: Accelerating Overdue Pull Requests toward Completion, 2022, ACM Transactions on Software Engineering and Methodology

The scientist frequently collaborates with several researchers in their field. Notable coauthors include:

  • Amir M. Mir
  • Evaldas Latoškinas
  • Arie van Deursen
  • Joseph Hejderup
  • Ayushi Rastogi

Their contributions have been published in diverse venues, with repeated appearances in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • IEEE Transactions on Software Engineering
  • Empirical Software Engineering

Best Publications

  • The promises and perils of mining GitHub

    Eirini Kalliamvakou;Georgios Gousios;Kelly Blincoe;Leif Singer

  • An exploratory study of the pull-based software development model

    Georgios Gousios;Martin Pinzger;Arie van Deursen

  • The GHTorent dataset and tool suite

    Georgios Gousios

  • Work practices and challenges in pull-based development: the contributor's perspective

    Georgios Gousios;Andy Zaidman;Margaret-Anne Storey;Arie van Deursen

  • Work practices and challenges in pull-based development: The integrator's perspective

    G. Gousios;A. Zaidman;Storey;A. Van Deursen

  • An in-depth study of the promises and perils of mining GitHub

    Eirini Kalliamvakou;Georgios Gousios;Kelly Blincoe;Leif Singer

  • GHTorrent: GitHub's data from a firehose

    Georgios Gousios;Diomidis Spinellis

  • The SQO-OSS Quality Model: Measurement Based Open Source Software Evaluation

    Ioannis Samoladas;Georgios Gousios;Diomidis Spinellis;Ioannis Stamelos

  • TravisTorrent: synthesizing Travis CI and GitHub for full-stack research on continuous integration

    Moritz Beller;Georgios Gousios;Andy Zaidman

  • When, how, and why developers (do not) test in their IDEs

    Moritz Beller;Georgios Gousios;Annibale Panichella;Andy Zaidman

  • GHTorrent: Github's data from a firehose

    Unknown

  • Measuring developer contribution from software repository data

    Georgios Gousios;Eirini Kalliamvakou;Diomidis Spinellis

  • Lean GHTorrent: GitHub data on demand

    Georgios Gousios;Bogdan Vasilescu;Alexander Serebrenik;Andy Zaidman

  • Structure and evolution of package dependency networks

    Riivo Kikas;Georgios Gousios;Marlon Dumas;Dietmar Pfahl

  • Oops, my tests broke the build: an explorative analysis of Travis CI with GitHub

    Moritz Beller;Georgios Gousios;Andy Zaidman

  • Untangling fine-grained code changes

    Martin Dias;Alberto Bacchelli;Georgios Gousios;Damien Cassou

  • CodeFill: Multi-token Code Completion by Jointly learning from Structure and Naming Sequences

    Unknown

  • Evaluating the Quality of Open Source Software

    Diomidis Spinellis;Georgios Gousios;Vassilios Karakoidas;Panagiotis Louridas

  • Developer Testing in the IDE: Patterns, Beliefs, and Behavior

    Moritz Beller;Georgios Gousios;Annibale Panichella;Sebastian Proksch

  • TypeWriter: neural type prediction with search-based validation

    Michael Pradel;Georgios Gousios;Jason Liu;Satish Chandra

  • A dataset for pull-based development research

    Georgios Gousios;Andy Zaidman

  • Open Source Software: A Survey from 10,000 Feet

    Stephanos Androutsellis-Theotokis;Diomidis Spinellis;Maria Kechagia;Georgios Gousios

  • Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python

    Unknown

Frequent Co-Authors

Diomidis Spinellis
Diomidis Spinellis Athens University of Economics and Business
Andy Zaidman
Andy Zaidman Delft University of Technology
Arie van Deursen
Arie van Deursen Delft University of Technology
Alberto Bacchelli
Alberto Bacchelli University of Zurich
Ioannis Stamelos
Ioannis Stamelos Aristotle University of Thessaloniki
Margaret-Anne Storey
Margaret-Anne Storey University of Victoria
Daniel M. German
Daniel M. German University of Victoria
Stéphane Ducasse
Stéphane Ducasse University of Lille
Daniela Damian
Daniela Damian University of Victoria
Yannis Charalabidis
Yannis Charalabidis University of the Aegean

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